"Scientific research" Almanac

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  BENEFIT SEGMENTATION OF BULGARIAN TOURIST

  The peculiarities of consumer behaviour is of key importance for the successful customer centric approach implementation in tourism marketing. The majority of existing studies focused on Bulgarian tourist market groups customers on the basis of the tourist nationality or the type of tourism practiced. Insufficient researched remains attitudes and ... The peculiarities of consumer behaviour is of key importance for the successful customer centric approach implementation in tourism marketing. The majority of existing studies focused on Bulgarian tourist market groups customers on the basis of the tourist nationality or the type of tourism practiced. Insufficient researched remains attitudes and expectations. The study aims to segment Bulgarian tourists by using benefit segmentation approach. Benefits are described via 16 binary variables. Data is collected via online survey with 858 valid respon¬ses. The segmentation was performed by cluster analysis. Segments identification is made both by hierarchical and non-hierarchical clustering algorithms. The existence of five segments has been proven. They are profiled on the base of socio-demographic and behavioural characteristics. Recommendations for using the information from the study in business practice and scientific researches are formulated.

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  THE INTERNATIONAL PRODUCTION SPECIALIZATION AND THE PLACE OF THE BULGARIAN ECONOMY - TRENDS AND PERSPECTIVES

  The international division of labor is a major factor in changing the international competitiveness of national economies, and as well an engine for changing the balance of economic power in the world. The dynamics of the movement of production factors causes a significant restructuring of trade flows and creates a new international economic ... The international division of labor is a major factor in changing the international competitiveness of national economies, and as well an engine for changing the balance of economic power in the world. The dynamics of the movement of production factors causes a significant restructuring of trade flows and creates a new international economic specialization of world regions and individual economies, which implies a modern approach to analyzing the modern international division of labor. The international production and export specialization of the Bulgarian economy has been developing over the last twenty years under the influence of two significant processes - the transition to a market economy and integration into the EU - which have led to restructuring and development of new production potential. The changes in the model of international production and trade specialization of the Bulgarian economy are also influenced by other external factors and processes taking place in the international economy, which are objectively related to the process of globalization and its dynamic changes. However, the influence of external factors cannot always change the dynamics and nature of internal structural changes in our country, which could increase the competitiveness of the national economy. The Bulgarian economy needs to update the model of its international specialization according to the ongoing global technological and organizational changes, which means updating the mechanism, forms and tools of formation of current international specialization, which is in line with the modern international division of labor.

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  UNCOVERING SHOPPING PATTERNS IN BIG DATA ENVIRONMENTS

  In this study, we present the feasibility of applying selected algorithms to rapidly detect regular, common, and recurring patterns of shopping behavior for products or services purchased simultaneously and/or in some temporal sequence. Such analyses are often defined by the term „'market basket analysis“. The object of the present study is the ... In this study, we present the feasibility of applying selected algorithms to rapidly detect regular, common, and recurring patterns of shopping behavior for products or services purchased simultaneously and/or in some temporal sequence. Such analyses are often defined by the term „'market basket analysis“. The object of the present study is the analysis of large data sets of sales transactions observed across multiple individual acts of purchase, and the subject matter is the discovery of the capabilities of some numerical algorithms from the field of machine learning to detect hidden patterns in acts of purchase by processing data from individual customer „market baskets“. The goal is to convince the reader of the possibilities of extracting association rules from big data through demonstrations with publicly available open data. The exposition follows a „concept-to-application“ logic and consistently provides answers to the questions of „why“ it is necessary to do it, „what“ it is done with, and „how“ it is done. After a brief introduction to the logic and specifics of the most popular algorithms for discovering patterns by extracting association rules from large datasets, we provide detailed working procedures and instructions for analyzing and interpreting the analytical results. Finally, we provide a synopsis and provide guidelines and recommendations for using the analytical procedures in a marketing context.